Using Adaptive Content Recommendations to Improve Logic and Programming Teaching and Learning

The high dropout rate in Information Technologies courses is a relevant problem in many countries, mainly because of the increasing demand for professionals in this sector. Usually, high dropout rates in these courses are related to difficulties in algorithms and programming subjects. Content recomm...

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Veröffentlicht in:	J.UCS (Annual print and CD-ROM archive ed.) 2024-11, Vol.30 (12), p.1645-1661
Hauptverfasser:	Filho, Aluizio Haendchen, da Silva Esteves, Adson Marques, do Prado, Hércules Antonio, Ferneda, Edilson, Raabe, André Luis Alice
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptiv Adaptive algorithms Adaptive systems Algorithms Clustering Intelligent agents Machine learning Programming Recommendation System Recommender System Recommender systems
Online-Zugang:	Volltext
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